Investigating the functional biology of IL-25 during helminth infection (38.6)
Bibliographic record
Abstract
Abstract Recent studies have demonstrated key functions of interleukin (IL) -25 in TH2 cytokine-mediated host protective immunity and exacerbation of allergic airway inflammation, however the cell lineages targeted by IL-25 to elicit such responses remains unclear. We show that IL-25 acts through an innate cell mechanism to drive TH2 cytokine responses. Utilizing IL-4/eGFP reporter mice that express green fluorescent protein (GFP) under the IL-4 loci, we demonstrated that IL-25 specifically induced a c-kit+ cell population in the mesenteric lymph nodes. This population was also present in the Peyer’s patches, cecal patch, and peritoneum of treated mice. Despite displaying a cell morphology similar to classical mast cells, the IL-25-induced c-kit+ cell population lacked expression of FcεR1 and surface bound IgE. Additionally, IL-25 elicited a TH2 cytokine response and induced this c-kit+ cell population independently of IL-3 and SCF signaling, pathways known to regulate mast cell development. Furthermore, we demonstrated that in mice deficient in the receptor for IL-25 or IL-17A, IL-17Rb and IL-17Ra respectively, the IL-25-mediated induction of this c-kit+ population was lost. Thus, these data suggest that IL-25 acts through a mast-cell independent mechanism to promote TH2 cytokine responses, which is dependent on both IL-17Ra and IL-17Rb.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".